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AAAI
2006
15 years 8 months ago
Unifying Logical and Statistical AI
Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew...
ATAL
2009
Springer
16 years 1 months ago
Emergent service provisioning and demand estimation through self-organizing agent communities
A major challenge within open markets is the ability to satisfy service demand with an adequate supply of service providers, especially when such demand may be volatile due to cha...
Mariusz Jacyno, Seth Bullock, Michael Luck, Terry ...
WSC
2008
15 years 9 months ago
Integrated human decision making model under Belief-Desire-Intention framework for crowd simulation
An integrated Belief-Desire-Intention (BDI) modeling framework is proposed for human decision making and planning, whose sub-modules are based on Bayesian belief network (BBN), De...
Seungho Lee, Young-Jun Son
IJAR
2008
92views more  IJAR 2008»
15 years 6 months ago
Predicting causality ascriptions from background knowledge: model and experimental validation
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on backgroun...
Jean-François Bonnefon, Rui Da Silva Neves,...
ATAL
1995
Springer
15 years 10 months ago
Formalising Motivational Attitudes of Agents
In this paper we present a formalisation of motivational attitudes, the attitudes that are the driving forces behind the actions of agents. We consider the statics of these attitu...
Bernd van Linder, Wiebe van der Hoek, John-Jules C...